The DOI matches its Crossref record.
Modern Psychometrics with R
Overview
The claims and statistics of this paper haven’t been checked yet.
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Integrity signals
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Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“An examination of the Kaiser-Meyer-Olkin measure of sampling adequacy suggested that the sample was factorable with 0.80 (with p < 0.05), which is above the commonly recommended value of 0.60 (Rummel 1988;Mair 2018).”
From Elaborating Team Roles for Artificial Intelligence-based Teammates in Human-AI Collaboration (2022) · cites this paper as Mair 2018
In the citing paper
“The MSA-value of each item is on the diagonal of the anti-image-correlation matrix and the MSA-value of the items is between 0.722 and 0.959 (Rummel 1988;Mair 2018).”
From Elaborating Team Roles for Artificial Intelligence-based Teammates in Human-AI Collaboration (2022) · cites this paper as Mair 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Elaborating Team Roles for Artificial Intelligence-based Teammates in Human-AI Collaboration
Siemon, D. (2022) · Group Decision and Negotiation · doi:10.1007/s10726-022-09792-z · Cited by 179
Development and Validation of a Basic Psychological Needs Scale for Technology Use
Moradbakhti, L., Leichtmann, B., & Mara, M. (2024) · Psychological Test Adaptation and Development · doi:10.1027/2698-1866/a000062 · Cited by 41
Metadata
- Authors
- Mair, P.
- Venue
- Use R!
- Publisher
- Springer International Publishing
- Published
- 2018
- ISSN
- 2197-5736 (ISSN-L)
- 2197-5744
- OpenAlex
- W2891320120
- Cited by
- 192
- References
- 0
- FWCI
- 13.03
- Type
- book
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Modern Psychometrics with R. https://app.cochat.ai/papers/10.1007/978-3-319-93177-7
- The paper
- Mair, P. (2018). Modern Psychometrics with R. Use R! https://doi.org/10.1007/978-3-319-93177-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
